Summary
Emily Shin is a Data Scientist based in Seoul with a decade of experience at the intersection of NLP, neuroimaging, and machine learning, currently building AI solutions at Hutom. She has led projects from Korean NLP systems at ScatterLab to MRI- and microscopy-based diagnostic and analysis pipelines at NEUROPHET, SKKU, and Qureator, blending rigorous cognitive neuroscience training with production-ready engineering. Comfortable across Python stacks, imaging toolkits, and statistical modeling, she bridges research and product to turn complex brain and microscopy data into actionable systems. Emily’s background in both computer media and cognitive science, plus ongoing study in statistics and creative writing, gives her a rare mix of technical depth, domain intuition, and clear scientific communication.
10 years of coding experience
11 years of employment as a software developer
M.S. Brain and Cognitive Science, M.S. Brain and Cognitive Science at Ewha Womans University 이화여자대학교
B.E. Computer Media (Intensive Major), B.E. Computer Media (Intensive Major) at Gachon University
Bachelor’s degree Creative Writing, Bachelor’s degree Creative Writing at Seoul Digital University 서울디지털대학교
B.S. Department of Statistics and Data Science, B.S. Department of Statistics and Data Science at Korea National Open University